Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual Label Correction. - Jiarun Liu; Ruirui Li 001; Chuan Sun (IEEE Trans. Medical Imaging, 2021)

Online Identification of Frequency Response of Attitude Control System based on Eigensystem Realization Algorithm. - Yue Peng; Jiarun Liu (ICCIR, 2022)

Agreement or Disagreement in Noise-tolerant Mutual Learning? - Jiarun Liu; Daguang Jiang; Yukun Yang; Ruirui Li 001 (ICPR, 2022)

Identification of topic evolution: network analytics with piecewise linear representation and word embedding. - Lu Huang 003; Xiang Chen; Yi Zhang 095; Changtian Wang; Xiaoli Cao; Jiarun Liu (Scientometrics, 2022)

Few-shot Class-incremental Learning for Cross-domain Disease Classification. - Hao Yang 026; Weijian Huang; Jiarun Liu; Cheng Li 008; Shanshan Wang 002 (CoRR, 2023)

Meta-DM: Applications of Diffusion Models on Few-Shot Learning. - Wentao Hu; Xiurong Jiang; Jiarun Liu; Yuqi Yang; Hui Tian 003 (CoRR, 2023)

Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning. - Weijian Huang; Cheng Li 008; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2023)

Analyzing Threats to Financial Market Integrity - A Taxonomy of Financial Fake News Schemes. - Oliver Rath; Frederic Haase; Johannes Werner Melsbach; Jiarun Liu; Julia Lauten; Detlef Schoder (HICSS, 2024)

Meta-DM: Applications of Diffusion Models on Few-Shot Learning. - Wentao Hu; Jiarun Liu; Jiawei Wang; Hui Tian 003 (ICIP, 2024)

Algorithm Topological Structure Search Based on Optimization of Mathematical Operation-Level Continuous Differentiable Search Framework. - Ludi Wang; Qinghai Gong; Zhaolei Wang; Jiarun Liu; Lin Ping (IJCNN, 2024)

Enhancing Representation in Medical Vision-Language Foundation Models Via Multi-Scale Information Extraction Techniques. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Mlip: Medical Language-Image Pre-Training With Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Guangming Shi; Hairong Zheng; Shanshan Wang 002 (ISBI, 2024)

Multimodal Self-Supervised Learning for Lesion Localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Guangming Shi; Hairong Zheng; Qiegen Liu; Shanshan Wang 002 (ISBI, 2024)

Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining. - Jiarun Liu; Hao Yang 026; Hong-Yu Zhou; Yan Xi; Lequan Yu; Cheng Li 008; Yong Liang; Guangming Shi; Yizhou Yu; Shaoting Zhang 001; Hairong Zheng; Shanshan Wang 002 (MICCAI (9), 2024)

Multimodal self-supervised learning for lesion localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

Enhancing the medical foundation model with multi-scale and cross-modality feature learning. - Weijian Huang; Cheng Li 008; Hong-Yu Zhou; Jiarun Liu; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning. - Jiarun Liu; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Hao Yang 026; Yong Liang; Shanshan Wang 002 (CoRR, 2024)

Generalizable vision-language pre-training for annotation-free pathology localization. - Hao Yang 026; Hong-Yu Zhou; Cheng Li 008; Weijian Huang; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Cheng Li 008; Weijian Huang; Hao Yang 026; Jiarun Liu; Shanshan Wang 002 (CoRR, 2024)

Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining. - Jiarun Liu; Hao Yang 026; Hong-Yu Zhou; Yan Xi; Lequan Yu; Yizhou Yu; Yong Liang; Guangming Shi; Shaoting Zhang 001; Hairong Zheng; Shanshan Wang 002 (CoRR, 2024)

Optimized Vessel Segmentation: A Structure-Agnostic Approach with Small Vessel Enhancement and Morphological Correction. - Dongning Song; Weijian Huang; Jiarun Liu; Md Jahidul Islam; Hao Yang; Shanshan Wang (CoRR, 2024)

Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement. - Weijian Huang; Cheng Li 008; Hao Yang; Jiarun Liu; Yong Liang; Hairong Zheng; Shanshan Wang (Medical Image Anal., 2024)

WEPO: Web Element Preference Optimization for LLM-based Web Navigation. - Jiarun Liu; Jia Hao; Chunhong Zhang; Zheng Hu 001 (AAAI, 2025)

All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment. - Jia Hao; Chunhong Zhang; Jiarun Liu; Haiyu Zhao; Zhiqiang Zhan; Zheng Hu 001 (ACL (Findings), 2025)

Automating vessel segmentation in the heart and brain: A trend to develop multi-modality and label-efficient deep learning techniques. - Nazik Elsayed; Yousuf Babiker M. Osman; Cheng Li 008; Jiarun Liu; Weixin Si; Jiong Zhang; Shanshan Wang 002 (Biomed. Signal Process. Control., 2025)

Efficient self-learning disturbance-resistant control for high-speed flight vehicle based on dual heuristic dynamic programming. - Xu Huang; Jiarun Liu; Yue Peng; Yuan Zhang; Zhaolei Wang; Weimin Bao (Eng. Appl. Artif. Intell., 2025)

IT-embedded dynamic capabilities for public institutions coping with disinformation - The case of financial fake news. - Oliver Rath; Frederic Haase; Johannes Werner Melsbach; Jiarun Liu; Detlef Schoder (Gov. Inf. Q., 2025)

Industrial-Grade Sensor Simulation via Gaussian Splatting: A Modular Framework for Scalable Editing and Full-Stack Validation. - Xianming Zeng; Sicong Du; Qifeng Chen; Lizhe Liu; Haoyu Shu; Jiaxuan Gao; Jiarun Liu; Jiulong Xu; Jianyun Xu; Mingxia Chen; Yiru Zhao; Peng Chen; et al. (CoRR, 2025)

BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis. - Jiarun Liu; Hong-Yu Zhou; Weijian Huang; Hao Yang 026; Dongning Song; Tao Tan 002; Yong Liang; Shanshan Wang 002 (CoRR, 2025)

A Diffusion-Driven Temporal Super-Resolution and Spatial Consistency Enhancement Framework for 4D MRI imaging. - Xuanru Zhou; Jiarun Liu; Shoujun Yu; Hao Yang; Cheng Li 008; Tao Tan; Shanshan Wang (CoRR, 2025)

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors. - Sicong Du; Jiarun Liu; Qifeng Chen; Hao-Xiang Chen 004; Tai-Jiang Mu; Sheng Yang 007 (CoRR, 2025)

Cognitive Duality for Adaptive Web Agents. - Jiarun Liu; Chunhong Zhang; Zheng Hu (CoRR, 2025)